THE ROLE

Truemed enables health and wellness merchants to accept $150+ billion in HSA/FSA funds. At the center of that is determining whether products qualify for pretax spending - a classification problem with regulatory, financial, and clinical consequences at scale.

We solve this using cutting-edge ML technologies that enable us to scale the number of merchants and product categories we can support while maintaining industry-leading accuracy requirements. As a Senior ML Engineer, you will run the experiments that decide how that system improves, and ship the winners to production.

WHAT YOU'LL DO

- Run the experiments that move classification accuracy: form a hypothesis, test it against labeled data, and ship what wins

- Design and iterate on classifiers that evaluate products against eligibility rules, across prompting, retrieval, fine-tuning, and multi-model approaches

- Dig into misclassifications to find failure modes, and turn each one into the next experiment

- Build and extend the evaluation sets and metrics that tell us when a model is better, including how we label ground truth

- Track new models and research, and test the ones that could change our accuracy or cost curve

- Extend classification coverage to new product categories as Truemed expands

- Find new applications for our models and data beyond product classification, and prototype the ones worth pursuing

- Collaborate with clinical ops and legal teams to turn eligibility standards into labeled data and testable system behavior

- Write up results so the team makes model decisions from evidence, and help raise AI fluency across engineering

WHAT YOU BRING

- 5+ years of engineering or applied research experience, with at least 2 years of hands-on work with LLMs or other ML models on real problems

- A track record of rigorous experiments: clear hypotheses, sound baselines, ablations, and conclusions you would defend

- You thrive and enjoy looking at data with your ey...